NATHAN QUIGLEY

NATHAN QUIGLEY — CS2 Stats

US76561198278628149[U:1:318362421]Steam profile ↗✓ No bans

1,093Tracked matches37%Win rate2020Tracked since
CSDB Rating5.9 SolidAll-Rounder
WingmanMaster Guardian I
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,889 +389 13 Jan – 25 Jan · 4 days played
15,44516,010peak 16,01013 Jan25 Jan
16,010Peak Premier in tracked matches
42Days played since 2024-12-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim86
Positioning50
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY49–47–4Last 10049%Win rateWWWWLLLLLL

Last 10 vs previous 10: +10pp win rate · +0.06 avg rating · −2.4pp headshot accuracy · −78ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 588ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 14%
  • Avg reaction 613ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 15%
  • Avg reaction 652ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility3.3
Positioning5.0
Opening Duels4.0
Clutch5.0

Sharp aimerExcellent counter-strafing

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

sh1ro

Plays most like sh1ro 86% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower positioning profile; lower utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Counter-strafing. 95% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 50% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim8.6
Positioning5.0
Utility3.3
Mechanics10.0
Opening Duels2.9
Win Impact0.7

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time651ms+39ms
first ⅓ avg 613ms → last ⅓ avg 651ms
Headshot accuracy15.8%+0.8%
first ⅓ avg 15.0% → last ⅓ avg 15.8%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.13Best match rating · 7–0 · mirage, 28 May →
33%Best headshot accuracy · 3–13 · cache, 29 Apr →
422msFastest reaction time · 14–16 · nuke, 25 Jan →
13–1Biggest win · mirage, 8 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
10–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 60% over 5dust2Weakest map · 38% over 21
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%0.01
infernoA2313–1057%0.01
dust2C218–1338%-0.00
anubisA148–657%0.02
ancientB63–350%0.01
nukeA53–260%0.01
train—31–233%-0.00
cache—10–10%-0.09
overpass—10–10%0.11
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (38% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

235Matches
54%Win rate
1.20Avg K/D
88.0ADR
37%Headshot %

Clutches & streaks

45%1v1 clutch win
28%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2157%1.2717.9
Inferno1953%1.0816.6
Dust21560%1.2418.1
Anubis1457%1.5018.5
Ancient333%1.0221.0
Nuke20%0.8814.0
Cache1100%1.0015.0
Vertigo10%0.9018.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

16.2%Headshot accuracy
43.0%Accuracy (enemy spotted)
43.3%Spray accuracy
95.2%Counter-strafing
9.9°Preaim
651msReaction time
32.7%T opening success
50.2%CT opening success
0.66Enemies flashed / flash
7.3%Flash assists
7.49HE damage / grenade
5.24Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 32.7269% — below the 40% mark we flag

Spend your practice time on Dust 2

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

38% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–20.0628%19 Aug →
anubis7–50.054%8 Aug →
mirage13–1-0.010%8 Aug →
mirage13–10-0.063%8 Aug →
dust22–130.0021%1 Jun →
mirage11–130.0413%1 Jun →
dust25–13-0.0321%1 Jun →
dust211–130.0916%5 May →
inferno5–130.0914%1 May →
mirage8–130.0519%1 May →
dust21–13-0.0314%1 May →
dust213–10-0.0612%29 Apr →
dust213–8-0.0117%29 Apr →
cache3–13-0.0933%29 Apr →
mirage9–130.0114%28 Apr →
mirage5–13-0.0612%21 Apr →
anubis11–13-0.0017%21 Apr →
inferno6–13-0.0219%21 Apr →
anubis12–12-0.003%21 Jan →
dust213–7-0.0121%30 Sept →
ancient19–170.0614%28 Sept →
dust213–40.0013%28 Sept →
ancient5–13-0.0824%28 Sept →
mirage6–130.0014%27 Sept →
inferno8–130.0229%27 Sept →
dust210–13-0.0610%27 Sept →
nuke13–90.0132%27 Sept →
overpass12–120.1117%26 Sept →
anubis12–120.0514%25 Jun →
inferno8–130.0121%22 Jun →
ancient13–90.0416%22 Jun →
mirage2–13-0.0714%16 Jun →
inferno13–2-0.045%16 Jun →
ancient13–40.0314%15 Jun →
dust27–130.0324%15 Jun →
dust210–13-0.0317%12 Jun →
anubis1–13-0.070%12 Jun →
anubis13–80.0118%5 Jun →
dust219–170.016%30 May →
inferno12–16-0.049%29 May →
vertigo13–5-0.0118%29 May →
ancient11–130.0225%29 May →
nuke13–30.0112%28 May →
mirage7–00.136%28 May →
dust212–120.0124%28 May →
anubis13–70.0131%16 May →
inferno13–10-0.0414%16 May →
dust28–13-0.0115%16 May →
dust213–8-0.016%16 May →
mirage3–13-0.1011%4 May →
train4–13-0.0712%4 May →
dust213–100.0315%4 May →
ancient9–13-0.029%13 Feb →
dust29–130.0320%13 Feb →
nuke10–13-0.0313%13 Feb →
inferno13–10-0.0114%12 Feb →
mirage13–110.0116%12 Feb →
anubis13–5-0.007%12 Feb →
train12–40.0223%8 Feb →
mirage13–100.0618%8 Feb →
inferno13–100.0214%8 Feb →
inferno11–13-0.0124%8 Feb →
inferno13–20.065%6 Feb →
dust211–130.0312%6 Feb →
anubis13–20.0818%6 Feb →
mirage13–70.0125%1 Feb →
inferno10–13-0.0812%1 Feb →
anubis25–230.0414%1 Feb →
mirage13–70.0416%31 Jan →
inferno13–90.0114%31 Jan →
inferno13–80.0220%31 Jan →
inferno13–60.0713%30 Jan →
mirage14–160.0512%30 Jan →
inferno16–14-0.0112%30 Jan →
nuke14–16-0.045%25 Jan →
mirage10–13-0.0012%23 Jan →
inferno13–40.009%23 Jan →
mirage7–130.0116%23 Jan →
anubis9–130.0317%23 Jan →
dust24–130.0217%23 Jan →
inferno13–160.0115%22 Jan →
mirage7–130.0115%22 Jan →
inferno8–130.0417%22 Jan →
mirage13–5-0.0123%22 Jan →
mirage16–140.0615%21 Jan →
inferno7–13-0.0713%21 Jan →
dust219–17-0.0118%17 Jan →
mirage13–10-0.004%16 Jan →
inferno13–110.0317%16 Jan →
mirage13–20.0917%16 Jan →
anubis2–13-0.0414%15 Jan →
nuke13–40.1115%15 Jan →
mirage8–13-0.0416%15 Jan →
anubis13–110.0715%13 Jan →
anubis13–70.0912%13 Jan →
inferno13–60.0511%13 Jan →
mirage13–70.0016%13 Jan →
mirage3–130.0132%8 Jan →
dust25–13-0.0518%26 Dec →
train5–130.0318%19 Dec →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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